4 matches · model numbers, form and value in one matrix
| Match | 1X2 odds | Model % | xGoals | PPG L10 |
Goal diff L10 |
Goals/game L10 |
xG L10 |
xG-diff L10 |
Value |
|---|---|---|---|---|---|---|---|---|---|
Sweden
Allsvenskan
2 ›
|
|||||||||
|
5. Jun
19:00
Full-time
Varberg
0
Hacken
2
|
– | 🔒 | 🔒 | 0,4 2,2 |
-15 +19 |
2,5 3,9 |
🔒 | 🔒 | 🔒 |
|
5. Jun
19:10
Full-time
Malmo FF
5
Degerfors
0
|
– | 🔒 | 🔒 | 2,5 0,8 |
+18 -19 |
3,6 3,7 |
🔒 | 🔒 | 🔒 |
Austria
Bundesliga
2 ›
|
|||||||||
|
5. Jun
19:00
Full-time
Wolfsberger AC
1
A. Lustenau
2
|
– | 🔒 | 🔒 | 1,8 1,6 |
+4 +4 |
2,8 4,0 |
🔒 | 🔒 | 🔒 |
|
5. Jun
20:45
Full-time
Hamburg
1
Stuttgart
3
|
– | 🔒 | 🔒 | 1,6 1,6 |
+4 +7 |
4,2 3,5 |
🔒 | 🔒 | 🔒 |
Number of recent matches behind the PPG, goal diff, goals/game and xG columns.
All numbers are statistical estimates from our model. The Value column shows the model's largest deviation from the odds — history shows the market is usually right when the gap is large. Click a row for the full match analysis.